Event and Query Processing in a Fuzzy Active Graph Database System

10 pages•Published: March 18, 2022

Abstract

There is a lot of uncertain and imprecise information in a real-world scenario. Graph database systems based on the graph model support crisp and precise data. This paper presents a system structure that processes fuzzy quantified queries in the context of a graph database. Fuzzy logic allows decisions to be taken more realistically. A specific form of structural quantified query is designed and demonstrated in this paper, which then can be expressed as an extension to the Neo4j Cypher query language. In addition, this research built an active rule system on top of the graph database that reacts to event occurrences automatically. This paper presents our approach of supporting temporal event handling using fuzzy active rules and fuzzy query processing over Neo4j graph database systems.

Keyphrases: active database system, fuzzy logic, graph database system

In: Bidyut Gupta, Ajay Bandi and Mohammad Hossain (editors). Proceedings of 37th International Conference on Computers and Their Applications, vol 82, pages 82-91.

Links:	https://easychair.org/publications/paper/2fWb
	https://doi.org/10.29007/fvvx

BibTeX entry

@inproceedings{CATA2022:Event_Query_Processing_Fuzzy,
  author    = {Ayushi Vadwala and Ying Jin},
  title     = {Event and Query Processing in a Fuzzy Active Graph Database System},
  booktitle = {Proceedings of 37th International Conference on Computers and Their Applications},
  editor    = {Bidyut Gupta and Ajay Bandi and Mohammad Hossain},
  series    = {EPiC Series in Computing},
  volume    = {82},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/2fWb},
  doi       = {10.29007/fvvx},
  pages     = {82-91},
  year      = {2022}}

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